TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 1:42 PM EST
Kalshi
This market focuses on determining which team will score more points in a specific quarter of a college football game between UCF and Oklahoma State. It highlights the competitive nature of individual game segments rather than the overall match outcome.
If Oklahoma St. wins the 2nd quarter of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If UCF wins the 2nd quarter of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on models and expert analysis, while this market aggregates the beliefs of many individual traders. Often, prediction markets are considered more accurate forecasters of event outcomes, particularly when compared to initial sportsbook lines. However, sportsbook odds are readily available and provide a useful benchmark for understanding where the public initially perceives the probabilities of each outcome to be. It’s common to see the odds on Kalshi shift as new information becomes available and traders adjust their positions.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, UCF winning the 2nd quarter, Oklahoma State winning the 2nd quarter, or a tie. The price of each contract reflects the market's probability of that outcome occurring. As more people buy contracts for a particular outcome, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of all participants, constantly adjusting to new information and changing perceptions about the likelihood of each team winning the second quarter.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the 2nd quarter of the UCF vs Oklahoma State game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding the winning contract will receive a payout based on the final price of that contract at the time of resolution. It’s important to monitor the game’s progress and any relevant news leading up to the resolution date.
Several signals could significantly move this market before it resolves. Any news regarding key player injuries for either UCF or Oklahoma State would likely impact the odds. Changes in weather forecasts, particularly if they are expected to affect the game's playing conditions, could also be a factor. Furthermore, any significant shifts in public perception, perhaps driven by pre-game analysis or expert predictions, could influence trading activity on Kalshi. Finally, early game performance in the 1st quarter could lead traders to reassess their probabilities and adjust their positions accordingly.